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Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

FreedomIntelligence/OpenClaw-Medical-Skills Agent Skills author: FreedomIntelligence 11 files body ≈ 8 987 tokens Open the sourcegithub.com↗ analyzed 12 h ago

Write competitive research proposals for NSF, NIH, DOE, and DARPA.

As a process F 27/100 · No process to follow — References files that are not bundled: references/research_methods.md, references/timeline_planning.md, references/team_building.md

GeneratorWriting and documentsSecuritytype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
66
Run on models
none yet
Process rating
F
27/100
No process to follow
References files that are not bundled: references/research_methods.md, references/timeline_planning.md, references/team_building.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: RA-Skills

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Write Edit Bash

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8987 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/research_methods.md
  • warning missing-ref reference to a missing file: references/timeline_planning.md
  • warning missing-ref reference to a missing file: references/team_building.md
  • warning missing-ref reference to a missing file: references/budget_preparation.md
  • warning missing-ref reference to a missing file: references/review_criteria.md
  • warning missing-ref reference to a missing file: references/funding_mechanisms.md
  • warning missing-ref reference to a missing file: references/resubmission_strategies.md
  • warning missing-ref reference to a missing file: assets/timeline_gantt_template.md
  • warning missing-ref reference to a missing file: assets/biosketch_templates/
  • warning missing-ref reference to a missing file: scripts/compliance_checker.py
  • warning missing-ref reference to a missing file: scripts/budget_calculator.py
  • warning missing-ref reference to a missing file: scripts/deadline_tracker.py

Process rating: all ten parameters 27/100

Will not run. References files that are not bundled: references/research_methods.md, references/timeline_planning.md, references/team_building.md
  • 0Tools and files. 12 referenced file(s) missing: references/research_methods.md, references/timeline_planning.md, references/team_building.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 40Execution cost. Instruction body is 8987 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Steps. 549 steps, 7 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 15 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 241: enough signal without eating the budget
  • +4Structure: 55 headings
  • +3Step-by-step instructions: 549 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.